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Review Open access Aug 2026

Performance of MRI-based deep learning models in differentiation of triple negative breast cancer from other breast cancer subtypes: A systematic review and meta-analysis

Background and aim Triple negative breast cancer (TNBC) is an aggressive subtype of breast cancer with limited targeted therapies. Deep learning (DL) applied to magnetic resonance imaging (MRI) offers a promising noninvasive alternative to biopsy. This systematic review and meta‑analysis aimed to synthesize current evi...

S. Mohammadzadeh, I. Kiani, S. Rahmani et al. · 0 citations
Review Open access Sep 2026

Deep Learning and Machine Learning Algorithms for Cervical Cancer Segmentation on MRI: A Systematic Review

ABSTRACT Introduction Cervical cancer management relies heavily on magnetic resonance imaging (MRI) for staging and treatment planning; however, manual segmentation is time‐consuming and prone to variability. This systematic review aimed to evaluate the performance and clinical potential of machine learning (ML) and de...

Somayeh Haji Ahmadi, Sina Soltan Mohammadi, Abolfazl Koozari et al. · 0 citations

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